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Alexander Binnekamp's Projects

automatic-corpus-translation icon automatic-corpus-translation

Python code that automatically translates large corpusses of text documents between multiple international languages. Translation is based on the Google Translator but the code also handles text documents containing more than 5000 characters. The code maintains the original filenames and stores the translated text into new text documents.

kafka-apache-project icon kafka-apache-project

As part of this project I learned how and when to implement Kafka Apache within an enterprise, how to configure Producers, Consumers and Topics and when to use Kafka Schema Registry, Kafka Streams and Kafka Connect. Using JAVA and the CLI I manually programmed and configured a Producer and Consumer to be able to handle Wikimedia streams.

moma-dataset-analysis icon moma-dataset-analysis

This was a group project for the course Collecting Data of the MA degree program Digital Humanities at the RUG I participated in. Under Final_report_collecting_date.pdf you will find the final presentation of the project. For this project I primarily focussed on subquestions 1 and 2, dealing with methodological issues surrounding data analysis of a large dataset.

newman_automated_testing icon newman_automated_testing

Using Newman as a CI tool I automate the testing of a Postman collection. Furthermore, using Newman I also generate a JSON report giving insights into the succes of various API calls.

open-api-practice icon open-api-practice

I will post here some practice exercises I did with the open api 3.0.0 specification (OAS).

rest-api-project icon rest-api-project

This project is the endresult of the course "REST APIs with Flask and Python in 2023" that I followed. Topics included in this course are authentication (using JWT), deployment (using Docker and Git), relational databases (using SQL-Alchemy) and the Flask framework (using extensions such s Flask-Smorest, Flask-JWT-Extended and Flask-Migrate).

sentiment-analysis-project icon sentiment-analysis-project

This is a project for the course Tools & Methods of the MA program Digital Humanities at the RUG. In this project we scraped comments from Reddit and performed a sentiment analysis. Presentation of this project can be accessed through the following link: https://prezi.com/view/vRApUkEFQNpx0EIBwAuB/

website-scraping icon website-scraping

For this project I have decided to scrape the archive of the Dutch news website 'nu.nl'. The code goes through the different articles available on the archive page of the website, and stores the title, publication date and the link to the article in a csv file.

website-scraping-2 icon website-scraping-2

For this project I have decided to scrape the website of 'the economist'. The first part of the code goes through the archive of the website and stores the title, date of publication and the link to each edition (since 1997) in a csv file. In the second part of the code you have the option to investigate each individual edition further. You can copy and paste the link of an individual edition, which will give you a list of articles published in that particular edition in return.

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